Suri Jasjit S. and Agarwal Sushant and Chabert Gian Luca and Carriero Alessandro and Paschè Alessio and Danna Pietro S. C. and Saba Luca and Mehmedovic Armin and Faa Gavino and Singh Inder M. and Turk Monika and Chadha Paramjit S. and Johri Amer M. and Nagy Ferenc Tamás and Ruzsa Zoltán:
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.
DIAGNOSTICS, 12 (6).
Terjedelem: 41 p.-Azonosító: 1482.
ISSN 2075-4418
(2022)
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Item Type: | Journal Article | |||||||||||||||
Journal or Publication Title: | DIAGNOSTICS | |||||||||||||||
Date: | 2022 | |||||||||||||||
Volume: | 12 | |||||||||||||||
Number: | 6 | |||||||||||||||
Page Range: | Terjedelem: 41 p.-Azonosító: 1482 | |||||||||||||||
ISSN: | 2075-4418 | |||||||||||||||
Faculty/Unit: | Albert Szent-Györgyi Medical School | |||||||||||||||
Institution: | University of Szeged (2000-) | |||||||||||||||
Language: | English | |||||||||||||||
MTMT rekordazonosító: | 32913535 | |||||||||||||||
DOI azonosító: | https://doi.org/10.3390/diagnostics12061482 | |||||||||||||||
Date Deposited: | 2022. Jul. 01. 10:28 | |||||||||||||||
Last Modified: | 2022. Jul. 01. 10:28 | |||||||||||||||
URI: | http://publicatio.bibl.u-szeged.hu/id/eprint/24632 |
Web of Science® Times Cited: 36 | View citing articles in Web of Science® |
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